$ about
I design systems by starting with constraints, not features. The first questions are always about risk, auditability, and long-term ownership. When a system must survive regulation, team changes, and the slow drift of business requirements, the architecture needs clear boundaries, observable behavior, and deliberate trade-offs.
My work blends software architecture with operational reality. I spend time with the people who run the system, not just the people who build it. That usually changes the design: better incident isolation, clear data lineage, predictable failure modes, and the ability to explain every important decision months later.
Nature is a quiet reference point: ecosystems persist through feedback loops, redundancy, and gradual adaptation. I aim for the same qualities in software systems without adding unnecessary complexity.
$ principles
- Design for traceability before optimizing for speed.
- Make failures visible, bounded, and recoverable.
- Prefer explicit contracts over implicit coordination.
- Keep data ownership unambiguous.
- Choose steady evolution over disruptive rewrites.
- Security is a property, not a phase.
- Document decisions while they are still fresh.
$ toolbox
Architecture
Domain-driven boundaries, event-driven workflows, and service contracts that survive audits and team changes.
Backend
TypeScript, Go, and Java stacks with a preference for explicit data models and clear migration paths.
Messaging
RabbitMQ and Kafka patterns focused on idempotency, retries, and safe recovery.
Security
Encryption at rest, strong audit logs, certificate management, and least-privilege access.
DevOps
Infrastructure as code, controlled releases, and monitoring that explains failures in plain language.